PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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Last updated 16 novembro 2024
Frontiers Healthcare analytics—A literature review and proposed research agenda
Frontiers Leveraging electronic health record data for endometriosis research
CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research - The Lancet Digital Health
Prediction Model of Clearance by a Novel Quantitative Structure–Activity Relationship Approach, Combination DeepSnap-Deep Learning and Conventional Machine Learning
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Electronics, Free Full-Text
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework
JCM, Free Full-Text
Predictive modeling of structured electronic health records for adverse drug event detection, BMC Medical Informatics and Decision Making
Computers, Free Full-Text
Frontiers Intelligent Health Care: Applications of Deep Learning in Computational Medicine
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review - ScienceDirect
Machine learning prediction of side effects for drugs in clinical trials - ScienceDirect
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